Measuring Flow: Refining Research Protocols That Integrate Physiological and Psychological Approaches

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Human Behavior and Emerging Technologies Pub Date : 2025-02-14 DOI:10.1155/hbe2/6464984
Martin Wonders, Dan Hodgson, Nicola Whitton
{"title":"Measuring Flow: Refining Research Protocols That Integrate Physiological and Psychological Approaches","authors":"Martin Wonders,&nbsp;Dan Hodgson,&nbsp;Nicola Whitton","doi":"10.1155/hbe2/6464984","DOIUrl":null,"url":null,"abstract":"<p>Measuring flow, an optimal mental state defined by intense focus and immersion, can provide valuable insights into research on human engagement. However, a review of 69 studies identified significant methodological issues that could be undermining progress in this area of research. We discovered the use of eight nonvalidated psychological flow verification instruments (used in 33 studies), ambiguity and a lack of transparency in the interpretation and reporting of the verification results (36 studies), and a lack of screening of participants with only two studies screening for a disposition to experience a flow state. Additionally, despite the balance of challenge and skill being an essential precondition for inducing a flow state, 33 studies did not appropriately match flow-inducing activities to participant’s skill levels. These issues with measuring flow through self-assessment make it impossible to accurately validate hypothesised flow states using physiological approaches. To address these limitations, we propose a set of research protocol guidelines for integrating physiological and psychological measures to triangulate flow indicators. This provides a robust research framework that will allow the identification of physiological measures of flow that can provide a real-time objective alternative to subjective self-assessment instruments.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/6464984","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Behavior and Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/hbe2/6464984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Measuring flow, an optimal mental state defined by intense focus and immersion, can provide valuable insights into research on human engagement. However, a review of 69 studies identified significant methodological issues that could be undermining progress in this area of research. We discovered the use of eight nonvalidated psychological flow verification instruments (used in 33 studies), ambiguity and a lack of transparency in the interpretation and reporting of the verification results (36 studies), and a lack of screening of participants with only two studies screening for a disposition to experience a flow state. Additionally, despite the balance of challenge and skill being an essential precondition for inducing a flow state, 33 studies did not appropriately match flow-inducing activities to participant’s skill levels. These issues with measuring flow through self-assessment make it impossible to accurately validate hypothesised flow states using physiological approaches. To address these limitations, we propose a set of research protocol guidelines for integrating physiological and psychological measures to triangulate flow indicators. This provides a robust research framework that will allow the identification of physiological measures of flow that can provide a real-time objective alternative to subjective self-assessment instruments.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
期刊最新文献
“E-Motional Navigators”: Italian Adaptation and Validation of the Socio-Emotional e-Competencies Questionnaire (e-COM) Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder Measuring Flow: Refining Research Protocols That Integrate Physiological and Psychological Approaches Environmental Responsibility, Environmental Concerns, and Green Banking Adoption in Pakistan: Using the Unified Theory of Acceptance and Use of Technology Unveiling Autism’s Patterns: The Deep Dynamic Levenberg–Marquardt Approach
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1